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				<title>Top 10 Most Purchased JMIR Articles(In the Last Month)</title>
		<link>http://www.jmir.org/stats/feed</link>
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                    <title>Design of an mHealth App for the Self-management of Adolescent Type 1 Diabetes: A Pilot Study</title>
                    <description>Background: The use of mHealth apps has shown improved health outcomes in adult populations with type 2 diabetes mellitus. However, this has not been shown in the adolescent type 1 population, despite their predisposition to the use of technology. We hypothesized that a more tailored approach and a strong adherence mechanism is needed for this group. Objective: To design, develop, and pilot an mHealth intervention for the management of type 1 diabetes in adolescents. Methods: We interviewed adolescents with type 1 diabetes and their family caregivers. Design principles were derived from a thematic analysis of the interviews. User-centered design was then used to develop the mobile app bant. In the 12-week evaluation phase, a pilot group of 20 adolescents aged 12&amp;#8211;16 years, with a glycated hemoglobin (HbA1c) of between 8% and 10% was sampled. Each participant was supplied with the bant app running on an iPhone or iPod Touch and a LifeScan glucometer with a Bluetooth adapter for automated transfers to the app. The outcome measure was the average daily frequency of blood glucose measurement during the pilot compared with the preceding 12 weeks. Results: Thematic analysis findings were the role of data collecting rather than decision making; the need for fast, discrete transactions; overcoming decision inertia; and the need for ad hoc information sharing. Design aspects of the resultant app emerged through the user-centered design process, including simple, automated transfer of glucometer readings; the use of a social community; and the concept of gamification, whereby routine behaviors and actions are rewarded in the form of iTunes music and apps. Blood glucose trend analysis was provided with immediate prompting of the participant to suggest both the cause and remedy of the adverse trend. The pilot evaluation showed that the daily average frequency of blood glucose measurement increased 50% (from 2.4 to 3.6 per day, P = .006, n = 12). A total of 161 rewards (average of 8 rewards each) were distributed to participants. Satisfaction was high, with 88% (14/16 participants) stating that they would continue to use the system. Demonstrating improvements in HbA1c will require a properly powered study of sufficient duration. Conclusions: This mHealth diabetes app with the use of gamification incentives showed an improvement in the frequency of blood glucose monitoring in adolescents with type 1 diabetes. Extending this to improved health outcomes will require the incentives to be tied not only to frequency of blood glucose monitoring but also to patient actions and decision making based on those readings such that glycemic control can be improved. &lt;br /&gt;&lt;br /&gt;				
															Purchases: 1&lt;img src="http://feeds.feedburner.com/~r/Top10P1/~4/5M6NvF-uDas" height="1" width="1"/&gt;</description>
                    
                                                                                                                                                                                                <link>http://feedproxy.google.com/~r/Top10P1/~3/5M6NvF-uDas/</link>
                    <pubDate>Tue, 08 May 2012 09:05:11 EDT</pubDate>
                    <guid isPermaLink="false">http://www.jmir.org/2012/3/e70/</guid>
                                <feedburner:origLink>http://www.jmir.org/2012/3/e70/</feedburner:origLink></item>
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                    <title>Internet Usage by Low-Literacy Adults Seeking Health Information: An Observational Analysis</title>
                    <description>BACKGROUND:  Adults with low literacy may encounter informational obstacles on the Internet when searching for health information, in part because most health Web sites require at least a high-school reading proficiency for optimal access.

OBJECTIVE:  The purpose of this study was to 1) determine how low-literacy adults independently access and evaluate health information on the Internet, 2) identify challenges and areas of proficiency in the Internet-searching skills of low-literacy adults.

METHODS:  Subjects (n=8) were enrolled in a reading assistance program at Bidwell Training Center in Pittsburgh, PA, and read at a 3rd to 8th grade level. Subjects conducted self-directed Internet searches for designated health topics while utilizing a think-aloud protocol. Subjects' keystrokes and comments were recorded using Camtasia Studio screen-capture software. The search terms used to find health information, the amount of time spent on each Web site, the number of Web sites accessed, the reading level of Web sites accessed, and the responses of subjects to questionnaires were assessed.

RESULTS:  Subjects collectively answered 8 out of 24 questions correctly. Seven out of 8 subjects selected "sponsored sites"-paid Web advertisements-over search engine-generated links when answering health questions. On average, subjects accessed health Web sites written at or above a 10th grade reading level. Standard methodologies used for measuring health literacy and for promoting subjects to verbalize responses to Web-site form and content had limited utility in this population.

CONCLUSION:  This study demonstrates that Web health information requires a reading level that prohibits optimal access by some low-literacy adults. These results highlight the low-literacy adult population as a potential audience for Web health information, and indicate some areas of difficulty that these individuals face when using the Internet and health Web sites to find information on specific health topics.

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                                                                                                                                                                                                <link>http://feedproxy.google.com/~r/Top10P1/~3/eSwfu9gFNys/</link>
                    <pubDate>Fri, 03 Sep 2004 00:00:00 EDT</pubDate>
                    <guid isPermaLink="false">http://www.jmir.org/2004/3/e25/</guid>
                                <feedburner:origLink>http://www.jmir.org/2004/3/e25/</feedburner:origLink></item>
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                    <title>What is e-health?</title>
                    <description>No Abstract Available&lt;br /&gt;&lt;br /&gt;				
															Purchases: 1&lt;img src="http://feeds.feedburner.com/~r/Top10P1/~4/604LYd4GoCk" height="1" width="1"/&gt;</description>
                    
                                                                                                                                                                                                <link>http://feedproxy.google.com/~r/Top10P1/~3/604LYd4GoCk/</link>
                    <pubDate>Mon, 18 Jun 2001 00:00:00 EDT</pubDate>
                    <guid isPermaLink="false">http://www.jmir.org/2001/2/e20/</guid>
                                <feedburner:origLink>http://www.jmir.org/2001/2/e20/</feedburner:origLink></item>
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                    <title>Sharing Health Data for Better Outcomes on PatientsLikeMe</title>
                    <description>Background: PatientsLikeMe is an online quantitative personal research platform for patients with life-changing illnesses to share their experience using patient-reported outcomes, find other patients like them matched on demographic and clinical characteristics, and learn from the aggregated data reports of others to improve their outcomes. The goal of the website is to help patients answer the question: “Given my status, what is the best outcome I can hope to achieve, and how do I get there?” Objective: Using a cross-sectional online survey, we sought to describe the potential benefits of PatientsLikeMe in terms of treatment decisions, symptom management, clinical management, and outcomes. Methods: Almost 7,000 members from six PatientsLikeMe communities (amyotrophic lateral sclerosis [ALS], Multiple Sclerosis [MS], Parkinson’s Disease, human immunodeficiency virus [HIV], fibromyalgia, and mood disorders) were sent a survey invitation using an internal survey tool (PatientsLikeMe Lens). Results: Complete responses were received from 1323 participants (19% of invited members). Between-group demographics varied according to disease community. Users perceived the greatest benefit in learning about a symptom they had experienced; 72% (952 of 1323) rated the site “moderately” or “very helpful.” Patients also found the site helpful for understanding the side effects of their treatments (n = 757, 57%). Nearly half of patients (n = 559, 42%) agreed that the site had helped them find another patient who had helped them understand what it was like to take a specific treatment for their condition. More patients found the site helpful with decisions to start a medication (n = 496, 37%) than to change a medication (n = 359, 27%), change a dosage (n = 336, 25%), or stop a medication (n = 290, 22%). Almost all participants (n = 1,249, 94%) were diagnosed when they joined the site. Most (n = 824, 62%) experienced no change in their confidence in that diagnosis or had an increased level of confidence (n = 456, 34%). Use of the site was associated with increasing levels of comfort in sharing personal health information among those who had initially been uncomfortable. Overall, 12% of patients (n = 151 of 1320) changed their physician as a result of using the site; this figure was doubled in patients with fibromyalgia (21%, n = 33 of 150). Patients reported community-specific benefits: 41% of HIV patients (n = 72 of 177) agreed they had reduced risky behaviors and 22% of mood disorders patients (n = 31 of 141) agreed they needed less inpatient care as a result of using the site. Analysis of the Web access logs showed that participants who used more features of the site (eg, posted in the online forum) perceived greater benefit. Conclusions: We have established that members of the community reported a range of benefits, and that these may be related to the extent of site use. Third party validation and longitudinal evaluation is an important next step in continuing to evaluate the potential of online data-sharing platforms. &lt;br /&gt;&lt;br /&gt;				
															Purchases: 1&lt;img src="http://feeds.feedburner.com/~r/Top10P1/~4/dk1atn8_m8U" height="1" width="1"/&gt;</description>
                    
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                    <pubDate>Mon, 14 Jun 2010 09:55:49 EDT</pubDate>
                    <guid isPermaLink="false">http://www.jmir.org/2010/2/e19/</guid>
                                <feedburner:origLink>http://www.jmir.org/2010/2/e19/</feedburner:origLink></item>
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                    <title>Using Internet Search Engines to Obtain Medical Information: A Comparative Study</title>
                    <description>Background: The Internet has become one of the most important means to obtain health and medical information. It is often the first step in checking for basic information about a disease and its treatment. The search results are often useful to general users. Various search engines such as Google, Yahoo!, Bing, and Ask.com can play an important role in obtaining medical information for both medical professionals and lay people. However, the usability and effectiveness of various search engines for medical information have not been comprehensively compared and evaluated. Objective: To compare major Internet search engines in their usability of obtaining medical and health information. Methods: We applied usability testing as a software engineering technique and a standard industry practice to compare the four major search engines (Google, Yahoo!, Bing, and Ask.com) in obtaining health and medical information. For this purpose, we searched the keyword breast cancer in Google, Yahoo!, Bing, and Ask.com and saved the results of the top 200 links from each search engine. We combined nonredundant links from the four search engines and gave them to volunteer users in an alphabetical order. The volunteer users evaluated the websites and scored each website from 0 to 10 (lowest to highest) based on the usefulness of the content relevant to breast cancer. A medical expert identified six well-known websites related to breast cancer in advance as standards. We also used five keywords associated with breast cancer defined in the latest release of Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT) and analyzed their occurrence in the websites. Results: Each search engine provided rich information related to breast cancer in the search results. All six standard websites were among the top 30 in search results of all four search engines. Google had the best search validity (in terms of whether a website could be opened), followed by Bing, Ask.com, and Yahoo!. The search results highly overlapped between the search engines, and the overlap between any two search engines was about half or more. On the other hand, each search engine emphasized various types of content differently. In terms of user satisfaction analysis, volunteer users scored Bing the highest for its usefulness, followed by Yahoo!, Google, and Ask.com. Conclusions: Google, Yahoo!, Bing, and Ask.com are by and large effective search engines for helping lay users get health and medical information. Nevertheless, the current ranking methods have some pitfalls and there is room for improvement to help users get more accurate and useful information. We suggest that search engine users explore multiple search engines to search different types of health information and medical knowledge for their own needs and get a professional consultation if necessary. &lt;br /&gt;&lt;br /&gt;				
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                                                                                                                                                                                                <link>http://feedproxy.google.com/~r/Top10P1/~3/JvZkE0liVeQ/</link>
                    <pubDate>Wed, 16 May 2012 09:34:47 EDT</pubDate>
                    <guid isPermaLink="false">http://www.jmir.org/2012/3/e74/</guid>
                                <feedburner:origLink>http://www.jmir.org/2012/3/e74/</feedburner:origLink></item>
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                    <title>Social Uses of Personal Health Information Within PatientsLikeMe, an Online Patient Community: What Can Happen When Patients Have Access to One Another’s Data</title>
                    <description>Background:  This project investigates the ways in which patients respond to the shared use of what is often considered private information: personal health data. There is a growing demand for patient access to personal health records. The predominant model for this record is a repository of all clinically relevant health information kept securely and viewed privately by patients and their health care providers. While this type of record does seem to have beneficial effects for the patient–physician relationship, the complexity and novelty of these data coupled with the lack of research in this area means the utility of personal health information for the primary stakeholders—the patients—is not well documented or understood.
Objective: PatientsLikeMe is an online community built to support information exchange between patients. The site provides customized disease-specific outcome and visualization tools to help patients understand and share information about their condition. We begin this paper by describing the components and design of the online community. We then identify and analyze how users of this platform reference personal health information within patient-to-patient dialogues.
Methods: Patients diagnosed with amyotrophic lateral sclerosis (ALS) post data on their current treatments, symptoms, and outcomes. These data are displayed graphically within personal health profiles and are reflected in composite community-level symptom and treatment reports. Users review and discuss these data within the Forum, private messaging, and comments posted on each other’s profiles. We analyzed member communications that referenced individual-level personal health data to determine how patient peers use personal health information within patient-to-patient exchanges.
Results: Qualitative analysis of a sample of 123 comments (about 2% of the total) posted within the community revealed a variety of commenting and questioning behaviors by patient members. Members referenced data to locate others with particular experiences to answer specific health-related questions, to proffer personally acquired disease-management knowledge to those most likely to benefit from it, and to foster and solidify relationships based on shared concerns.
Conclusions: Few studies examine the use of personal health information by patients themselves. This project suggests how patients who choose to explicitly share health data within a community may benefit from the process, helping them engage in dialogues that may inform disease self-management. We recommend that future designs make each patient’s health information as clear as possible, automate matching of people with similar conditions and using similar treatments, and integrate data into online platforms for health conversations.&lt;br /&gt;&lt;br /&gt;				
															Purchases: 1&lt;img src="http://feeds.feedburner.com/~r/Top10P1/~4/LPoWWAgcUho" height="1" width="1"/&gt;</description>
                    
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                    <pubDate>Tue, 27 May 2008 06:09:32 EDT</pubDate>
                    <guid isPermaLink="false">http://www.jmir.org/2008/3/e15/</guid>
                                <feedburner:origLink>http://www.jmir.org/2008/3/e15/</feedburner:origLink></item>
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                    <title>Development and Implementation of a Web-Enabled 3D Consultation Tool for Breast Augmentation Surgery Based on 3D-Image Reconstruction of 2D Pictures</title>
                    <description>Background: Producing a rich, personalized Web-based consultation tool for plastic surgeons and patients is challenging. Objective: (1) To develop a computer tool that allows individual reconstruction and simulation of 3-dimensional (3D) soft tissue from ordinary digital photos of breasts, (2) to implement a Web-based, worldwide-accessible preoperative surgical planning platform for plastic surgeons, and (3) to validate this tool through a quality control analysis by comparing 3D laser scans of the patients with the 3D reconstructions with this tool from original 2-dimensional (2D) pictures of the same patients. Methods: The proposed system uses well-established 2D digital photos for reconstruction into a 3D torso, which is then available to the user for interactive planning. The simulation is performed on dedicated servers, accessible via Internet. It allows the surgeon, together with the patient, to previsualize the impact of the proposed breast augmentation directly during the consultation before a surgery is decided upon. We retrospectively conduced a quality control assessment of available anonymized pre- and postoperative 2D digital photographs of patients undergoing breast augmentation procedures. The method presented above was used to reconstruct 3D pictures from 2D digital pictures. We used a laser scanner capable of generating a highly accurate surface model of the patient&amp;#8217;s anatomy to acquire ground truth data. The quality of the computed 3D reconstructions was compared with the ground truth data used to perform both qualitative and quantitative evaluations. Results: We evaluated the system on 11 clinical cases for surface reconstructions and 4 clinical cases of postoperative simulations, using laser surface scan technologies showing a mean reconstruction error between 2 and 4 mm and a maximum outlier error of 16 mm. Qualitative and quantitative analyses from plastic surgeons demonstrate the potential of these new emerging technologies. Conclusions: We tested our tool for 3D, Web-based, patient-specific consultation in the clinical scenario of breast augmentation. This example shows that the current state of development allows for creation of responsive and effective Web-based, 3D medical tools, even with highly complex and time-consuming computation, by off-loading them to a dedicated high-performance data center. The efficient combination of advanced technologies, based on analysis and understanding of human anatomy and physiology, will allow the development of further Web-based reconstruction and predictive interfaces at different scales of the human body. The consultation tool presented herein exemplifies the potential of combining advancements in the core areas of computer science and biomedical engineering with the evolving areas of Web technologies. We are confident that future developments based on a multidisciplinary approach will further pave the way toward personalized Web-enabled medicine. &lt;br /&gt;&lt;br /&gt;				
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                    <pubDate>Fri, 03 Feb 2012 11:30:06 EST</pubDate>
                    <guid isPermaLink="false">http://www.jmir.org/2012/1/e21/</guid>
                                <feedburner:origLink>http://www.jmir.org/2012/1/e21/</feedburner:origLink></item>
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                    <title>Use of Social Media by Western European Hospitals: Longitudinal Study</title>
                    <description>Background: Patients increasingly use social media to communicate. Their stories could support quality improvements in participatory health care and could support patient-centered care. Active use of social media by health care institutions could also speed up communication and information provision to patients and their families, thus increasing quality even more. Hospitals seem to be becoming aware of the benefits social media could offer. Data from the United States show that hospitals increasingly use social media, but it is unknown whether and how Western European hospitals use social media. Objective: To identify to what extent Western European hospitals use social media. Methods: In this longitudinal study, we explored the use of social media by hospitals in 12 Western European countries through an Internet search. We collected data for each country during the following three time periods: April to August 2009, August to December 2010, and April to July 2011. Results: We included 873 hospitals from 12 Western European countries, of which 732 were general hospitals and 141 were university hospitals. The number of included hospitals per country ranged from 6 in Luxembourg to 347 in Germany. We found hospitals using social media in all countries. The use of social media increased significantly over time, especially for YouTube (n = 19, 2% to n = 172, 19.7%), LinkedIn (n =179, 20.5% to n = 278, 31.8%), and Facebook (n = 85, 10% to n = 585, 67.0%). Differences in social media usage between the included countries were significant. Conclusions: Social media awareness in Western European hospitals is growing, as well as its use. Social media usage differs significantly between countries. Except for the Netherlands and the United Kingdom, the group of hospitals that is using social media remains small. Usage of LinkedIn for recruitment shows the awareness of the potential of social media. Future research is needed to investigate how social media lead to improved health care. &lt;br /&gt;&lt;br /&gt;				
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                    <pubDate>Tue, 01 May 2012 09:49:51 EDT</pubDate>
                    <guid isPermaLink="false">http://www.jmir.org/2012/3/e61/</guid>
                                <feedburner:origLink>http://www.jmir.org/2012/3/e61/</feedburner:origLink></item>
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